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/catalyst-calendar

Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events",

From plugin
financial-services
34k118 skills10 agents56 commands2 MCP
Install
$ npx -y skills add anthropics/financial-services --skill catalyst-calendar --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/catalyst-calendar

Context preview

The summary Claude sees to decide when to auto-load this skill.

Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events",

SKILL.md

catalyst-calendar.SKILL.md
name: catalyst-calendar
description: Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker".

Catalyst Calendar

Workflow

Step 1: Define Coverage Universe

  • List of companies to track (tickers or names)
  • Sector / industry focus
  • Include macro events? (Fed meetings, economic data, regulatory deadlines)
  • Time horizon (next 2 weeks, month, quarter)

Step 2: Gather Catalysts

For each company, identify upcoming events:

**Earnings & Financial Events**

  • Quarterly earnings date and time (pre/post market)
  • Annual shareholder meeting
  • Investor day / analyst day
  • Capital markets day
  • Debt maturity / refinancing dates

**Corporate Events**

  • Product launches or announcements
  • FDA approvals / regulatory decisions
  • Contract renewals or expirations
  • M&A milestones (close dates, regulatory approvals)
  • Management transitions
  • Insider trading windows (lockup expirations)

**Industry Events**

  • Major conferences (dates, which companies presenting)
  • Trade shows and expos
  • Regulatory comment periods or rulings
  • Industry data releases (monthly sales, traffic, etc.)

**Macro Events**

  • Fed meetings (FOMC dates)
  • Jobs report, CPI, GDP releases
  • Central bank decisions (ECB, BOJ, etc.)
  • Geopolitical events with market impact

Step 3: Calendar View

| Date | Event | Company/Sector | Type | Impact (H/M/L) | Our Positioning | Notes | |------|-------|---------------|------|-----------------|----------------|-------| | | | | Earnings/Corp/Industry/Macro | | Long/Short/Neutral | |

Step 4: Weekly Preview

Each week, generate a forward-looking summary:

**This Week's Key Events:** 1. [Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [$X], key focus: [metric] 2. [Day]: [Event] — why it matters for [stocks] 3. [Day]: [Macro release] — expectations and positioning

**Next Week Preview:**

  • Early heads-up on important events coming

**Position Implications:**

  • Events that could move specific positions
  • Any pre-positioning recommended
  • Risk management ahead of binary events

Step 5: Output

  • Excel workbook with calendar view and sortable columns
  • Weekly preview email/note (markdown)
  • Optional: integration with Google Calendar

Important Notes

  • Earnings dates shift — verify against company IR pages and Bloomberg/FactSet closer to the date
  • Pre-announce risk: track companies with a history of pre-announcing (positive or negative)
  • Conference attendance lists are valuable — which companies are presenting and which are conspicuously absent?
  • Some catalysts are recurring (monthly industry data) — build a template and auto-populate
  • Color-code by impact level: Red = high impact, Yellow = moderate, Green = routine
  • Archive past catalysts with the actual outcome — builds pattern recognition over time
Read more
Ships withfinancial-services

Reference agents, skills, and data connectors for the financial-services workflows we see most — investment banking, equity research, private equity, and wealth management.

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